Skip to main content
Log in

A new method for solving split equality problems via projection dynamical systems

  • Original Paper
  • Published:
Numerical Algorithms Aims and scope Submit manuscript

Abstract

In this paper, we propose a projection dynamical system for solving the split equality problem, or more generally the approximate split equality problem, in Hilbert spaces. The proposed dynamical system endows with the continuous behavior with time for Moudafi’s alternating CQ-algorithm and Byrne and Moudafi’s extended CQ-algorithm. Under mild conditions, we prove that the trajectory of the dynamical system converges weakly to a solution of the approximate split equality problem as time variable t goes to \(+\infty \). We further derive the exponential-type convergence provided that a bounded linear regularity property holds for the approximate split equality problem. Several numerical examples are given to demonstrate the validity and transient behavior of the proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Moudafi, A.: Alternating CQ-algorithms for convex feasibility and split fixed-point problems. J. Nonlinear Convex Anal. 15, 809–818 (2014)

    MathSciNet  MATH  Google Scholar 

  2. Censor, Y., Elfving, T.: A multiprojection algorithm using Bregman projections in a product space. Numer. Algor. 8(2), 221–239 (1994)

    Article  MathSciNet  Google Scholar 

  3. Byrne, C.: Iterative oblique projection onto convex sets and the split feasibility problem. Inverse Probl. 18, 441–453 (2002)

    Article  MathSciNet  Google Scholar 

  4. Byrne, C.: A unified treatment of some iterative algorithms in signal processing and image reconstruction. Inverse Probl. 20, 103–120 (2004)

    Article  MathSciNet  Google Scholar 

  5. Censor, Y., Bortfeld, T., Martin, B., Trofimov, A.: A unified approach for inversion problems in intensity-modulated radiation therapy. Phys. Med. Biol. 51, 2353–2365 (2006)

    Article  Google Scholar 

  6. Wang, J. H., Hu, Y. H., Li, C., Yao, J. C.: Linear convergence of CQ algorithms and applications in gene regulatory network inference. Inverse. Probl. 33, 055017 (2017)

    Article  MathSciNet  Google Scholar 

  7. Attouch, H, Bolte, J, Redont, P., Soubeyran, A.: Alternating proximal algorithms for weakly coupled minimization problems Applications to dynamical games and PDEs. J. Convex Anal. 15, 485–506 (2008)

    MathSciNet  MATH  Google Scholar 

  8. Moudafi, A., Al-Shemas, E.: Simultaneous iterative methods for split equality problems. Trans. Math. Program. Appl. 1(2), 1–11 (2013)

    Google Scholar 

  9. Byrne, C., Moudafi, A.: Extensions of the CQ algorithm for the split feasibility and split equality problems J. Nonlinear Convex Anal. 1–26 (2013)

  10. Vuong, P. T., Strodiot, J. J., Nguyen, V. H.: A gradient projection method for solving split equality and split feasibility problems in Hilbert spaces. Optimization 64(11), 2321–2341 (2015)

    Article  MathSciNet  Google Scholar 

  11. Dong, Q. L., He, S. N., Zhao, J.: Solving the split equality problem without prior knowledge of operator norms. Optimization 64(9), 1887–1906 (2015)

    Article  MathSciNet  Google Scholar 

  12. Zhao, J.: Solving split equality fixed-point problem of quasi-nonexpansive mappings without prior knowledge of operators norms. Optimization 64(12), 2619–2630 (2015)

    Article  MathSciNet  Google Scholar 

  13. Wang, F. H.: On the convergence of CQ algorithm with variable steps for the split equality problem. Numer. Algor. 74, 927–935 (2017)

    Article  MathSciNet  Google Scholar 

  14. Dong, Q. L., Li, X. H., He, S. N.: Outer perturbations of a projection method and two approximation methods for the split equality problem. Optimization 67(9), 1429–1446 (2018)

    Article  MathSciNet  Google Scholar 

  15. Shi, L. Y., Chen, R. D., Wu, Y. J.: Strong convergence of iterative algorithms for the split equality problem J. Inequal. Appl. 478 (2014)

  16. Chang, S., Agarwal, R. P.: Strong convergence theorems of general split equality problems for quasi-nonexpansive mappings J. Inequal. Appl. 367 (2014)

  17. Dang, Y. Z., Yao, J., Gao, Y.: Relaxed two points projection method for solving the multiple-sets split equality problems. Numer. Algor. 78, 263–275 (2018)

    Article  MathSciNet  Google Scholar 

  18. Shi, L. Y., Ansari, Q. H., Wen, C. F.: Linear convergence of gradient projection algorithm for split equality problems. Optimization 67, 2347–2358 (2018)

    Article  MathSciNet  Google Scholar 

  19. Tian, T. T., Shi, L. Y., Chen, R. D.: Linear convergence of the relaxed gradient projection algorithm for solving the split equality problems in Hilbert spaces J. Inequal. Appl. 80 (2019)

  20. Pyne, I. B.: Linear programming on an electronic analogue computer. Trans. Am. Inst. Electr. Eng. 75, 139–143 (1956)

    Google Scholar 

  21. Kenndy, M. P., Chua, L. O.: Neural networks for nonlinear programming. IEEE Trans. Circuits Syst. 35(5), 554–562 (1988)

    Article  MathSciNet  Google Scholar 

  22. Friesz, T. L., Bernstein, D. H., Mehta, N. J., Tobin, R. L., Ganjlizadeh, S.: Day-to-day dynamic network disequilibria and idealized traveler information systems. Oper. Res. 42, 1120–1136 (1994)

    Article  MathSciNet  Google Scholar 

  23. Forti, M., Nistri, P., Quincampoix, M.: Generalized neural network for nonsmooth nonlinear programming problems. IEEE Trans. Cricuits Syst 51(9) (2004)

  24. Liu, Q. S., Wang, J.: A projection neural network for constrained quadratic minimax optimization. IEEE Trans. Neur. Netw. Lear 26(11) (2015)

  25. Xia, Y. S., Wang, J.: A bi-projection neural network for solving constrained quadratic optimization problems.IEEE Trans. Neur. Netw Lear. 27(2) (2016)

  26. Effati, S., Ghomashi, A., Nazemi, A. R.: Application of projection neural network in solving convex programming problems. Appl. Math. Comput. 188, 1103–1114 (2007)

    MathSciNet  MATH  Google Scholar 

  27. Tan, Z.Z., Hu, R., Zhu, M., Fang, Y.P.: A dynamical system method for solving the split feasibility problem. J. Ind. Manag. Optim. (accepted)

  28. Haraux, A., Jendoubi, M. A.: The convergence problem for dissipative autonomous systems: classical methods and recent advances springer (2015)

  29. Bauschke, H. H., Combettes, P. L.: Convex Analysis and Monotone Operator Theory in Hilbert Spaces. Springer, Berlin (2011)

    Book  Google Scholar 

  30. Teschl, G.: Ordinary Differential Equations and Dynamical Systems providence(RI): American Mathematical Society (2012)

  31. Federer, H.: Geometric Measure Theory. Springer, Berlin (1969)

    MATH  Google Scholar 

  32. Boţ, B. I., Csetnek, E. R.: A dynamical system associated with the fixed points set of a nonexpansive operator. J. Dyn. Differ. Equ. 29, 155–168 (2017)

    Article  MathSciNet  Google Scholar 

  33. Brezis, H.: Functional Analysis, Sobolev Spaces and Partial Differential Equations. Springer, New York (2010)

    Book  Google Scholar 

  34. Opial, Z.: Weak convergence of the sequence of successive approximations for nonexpansive mappings. Bull. Am. Math. Soc. 73, 591–597 (1967)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the anonymous referees and the handling editor for their helpful comments and suggestions which have led to the improvement of the early version of this paper.

Funding

This work was partially supported by the National Natural Science Foundation of China (11471230 and 11771067) and the Applied Basic Research Project of Sichuan Province (2018JY0169).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yaping Fang.

Ethics declarations

Conflict of interests

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tan, Z., Hu, R. & Fang, Y. A new method for solving split equality problems via projection dynamical systems. Numer Algor 86, 1705–1719 (2021). https://doi.org/10.1007/s11075-020-00950-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11075-020-00950-5

Keywords

Mathematics subject classification 2010

Navigation